Channel
@GG_NewReport
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
8,640subscribers
-152 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1002692626872 |
|---|---|
| Type | Channel |
| Username | @GG_NewReport |
| Description | 男人GG @GG_GGlist0 📝好評台: @GG_NewReport1 #香港 #九龍 #新界 #TG包膠 黃頁版GG： @GG_GGlist3 代出及查詢 @GGHKContact1 免責聲明:👇🏻👇🏻 t.me/GG_GGlistMenu/491 GGHK 平台 連結: t.me/addlist/xEtJCZ3l8S5iMjY1 |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 11 August 2026 |
| On Telegram | t.me/GG_NewReport |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 00:34 | 8,640 | -131 |
| 8 Aug 2026, 02:40 | 8,771 | -21 |
| 7 Aug 2026, 12:47 | 8,792 | first reading |
124 posts held, back to 7 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 13 pagesof Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 8 of 124 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 124 (7 August 2026 – 12 August 2026) |
| Views total | 16,646 |
| Reactions total | 6 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 16:08 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 19 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
6 reactions across 6 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 6 | 100.0% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 8 of the 124 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 6reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 124 most recent posts we hold, published 7 August 2026 to 12 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
#hgreport 教場: N9 教室：@no9hgshare 教練：J220 3) 家用 16🐠 4)囡囡樣貌評價:9/10 目測點數: 靚 評語: 100%對相 5)囡囡身材評價: 9/10，pat夠用，瘦底 波路 &係咪真波: 天然大C奶 評價:白滑大波，應大有大，應瘦得瘦，應彈得彈 6)囡囡服務評價: 10/10 車牌 冇考，小弟生痱滋 評語: 開門勁好笑容，靚女，呆左1秒先識入房。女女一直望住我，搞到我不知所措，拎家用都跌錢落地😂然後女女繼續望住我，我問干嘛，佢話"我脫了"，我話好啊你脫吧，我也脫，然後大家都笑。沖身細心。上床女女自動錫lin再錫落去䑛袋底吸蛋再含，口技上盛，再叫妹妹轉位置俾我摸下面，濕晒喎，然後上套女上，女女識騎，好有反應，當然要一下插最入，佢大叫左，話頂著頂著，轉後入，未入晒女女已經high到叫，入晒女女話不行了不行了，頂到深。轉男上，快速插，女女狂嗌我不行了，不行了，我真的不行了。好撚正…
#hgreport #thaireport 教場 : @roythai828 教室： TR 教練： Algeria 3) 家用: 900 4) 囡囡樣貌評價 * : 9 / 10 目測年齡組別 (幼幼/姐幼/姐姐) * : 姐幼 評語 : 天生麗質，比廣告相還要漂亮，美貌如仙女，唇紅齒白，性感look 5) 囡囡身材評價 * : 9 / 10 波路 (A,B, etc.) ＆係唔係真波 (係/唔係) * : 評語 : D波中超，圓渾具彈性，波敏感，吻時囡囡會好興奮，人工白虎 6) 囡囡服務評價 * : 10 / 10 (服務內容、技術 etc.) 車牌 (大中細碰碰車) * : 靈車 評語 : 見面已如情侶相見，一入房已經靈魂濕吻，由開頭到浴缸到牀上和走時都車不停，lam天然白虎美鮑時有反應，膊掛着雙腿來回抽插和擁吻，女女都好主動，好似餓咗好耐，不斷搶攻，轉咗好幾個姿勢，囡囡非常配合，最後床上纏綿…
#SpaReport #後補包膠 教場 : @bubblespa777 教室：Bubble Spa (尖沙咀) 教練：小糯米 學費：6魚 相頭：9/10 長髮大眼，性感紅唇，五官精緻，笑容甜美。 身材：9/10 細粒小鳥依人,，細腰大波大屁屁，對波真係夠大，軟熟好好揸 服務：10/10 溝通良好，口技深喉一流，騎功好，後推舒服好好屌 P1：見到小糯米真人外表甜美，真人靚過廣告相，好爽朗建談不時有D小鳥依人動態，抱住摸吓佢，皮膚真係好滑，身材Keep得好好！Fern小糯米幫我除衫，一齊去沖涼，好細心沖涼，全身洗得乾乾淨淨，當正我係佢男朋友咁，波推全身漫遊，水簫深喉，巨龍準備作戰狀態！ P2：小糯米幫我抹乾身上床，先嚟個絲絲細語咬耳仔，再嚟全身漫遊，輕輕咬我兩粒Lin，我都禮常往來，兩隻手輕撫佢全身，對奶真係好好渣，個咀就啜佢Lin頭，之後小糯米用舌頭舔勻我全身，錫lin啜蛋，好有感覺，落力環保吹，一流口技，真係好鬼舒…
#spareport 教場：香氣 教室：@Aromaspa6655 教練：yoyo 相頭：9.2 / 10 〔簡評是否同廣告相有大差別〕 ：對相有8-9成，屬冷豔型靚姐，面形同眼神都幾有味道，真人比起相片多咗份親切感，冇預期中咁高冷。 身材：8.8 / 10 〔簡評皮膚色澤、嫩滑程度、身高身型、胸部大小等〕 ：目測姐幼身型，約165cm左右，白滑走肥完全冇贅肉。胸部係真C，重點係Pink lin，而且相當敏感，一摸就有反應。 服務：8.9 / 10 Part 1：Skipped Part 2： 囡囡口技相當有水準，深喉極之投入，配合埋嗰種冷豔樣望住你吹，視覺同感官享受都好震撼。 Part 3 ： 囡囡反應真實，唔係裝模作樣。上套後先來男上，緊窄包覆感極強，途中不斷靈魂大車。之後轉女上搖晃，配合度極高，全程雙方都非常投入，最後在強烈夾擊下順利釋放。 落樓價：1100 預約安排 (*如適用)：客服回覆迅速，安排流暢。 小插曲/特…
#spareport 教場：香氣 教室：@Aromaspa6655 教練：Yoyo 相頭: 靚女，山東囡囡。 身材: 大C 服務: 9分 見Yoyo都幾多好評就跟客服約。開門見囡囡對到相，就跟囡囡入房。傾幾句囡囡就開始解衣，仲快過我。我就快快脫衣一齊去沖涼。囡囡身材幾好，波比我想像中細，不過都可以。囡囡沖涼仔細，有水蕉，好過隱。洗完出去玩。出到去囡囡開始服務。比囡囡越吹越大，跟住69, 囡囡好享受，妹妹好食冇味。食到囡囡來咗高潮。跟住上套，一邊插一邊咀又搞到來咗高潮，轉女上狂插派彩。休息一陣然後再一齊去沖涼。 整體好滿意，俾9.5分。下次有機會再約。 落樓價 ：11🐟 #代出報告 💋💋想了解更多：💋💋 @Gg_Gglist0
#專業穴位按摩 #泰式抓龍筋 #中藥根浴 #筋膜刀 #草藥球按摩 #前列腺檢查 #spaReport #固元保健工作室 #Iris #Iris固元保健工作室 #氣內臟 教場: Iris 固元保健工作室 教室：@Iris888822 教練：Iris 服務：12/10 過程：複診4 又到咗定期覆診嘅時候,師傅手勢專業就唔使講喇，大家明😏，穴位相當準縄又夠力，今次已經冇咗冤痛好好多，身體最誠實，表揚表揚🥰。 來到根浴理療，最期待呢Part 真係好正好舒服，今次唔止硬，睇落仲大隻咗添，加埋草本處理真係無得輸💪🏻。 然後到氣内臟按通五臟六腑，再抓龍筋，根骶源同埋蛋蛋，神奇 今次冇咗太大冤痛感覺，掂晒，通則不痛，嗰種感覺真係發自內心嘅喜悅，而家血管經絡得到舒緩，通晒，仲好好好精神，但又超時了，抱歉🙏🙏🙏 感受： 療程真係無得頂，JJ充晒電又開心今次仲係"誓不低頭”的做完療程🤭，連自己都估唔到，而家日日朝早都有晨勃，感覺JJ後生左…
#hgreport #Hg #TST 教室：@oceanhotel 教場：海洋 教練 ：miwa 評分 ：A+ 相頭 8/10 五官細膩，高回頭率 身材 8/10 走肥瘦底，有緻 服務 9/10 親切有禮，體貼入微 過程：在各討論及報告區都參閱過miwa的精彩包膠，心思思想一親此東瀛靚女的香澤，於是就趁放假，早早與客服預約，有幸約到心水時間，準時到達，客服稱可提早進場，進入房間被教練容貌吸引，對答很有禮貌，解甲後，身形傲人雙峰盡現眼前，還有艷麗彩蛋，並伴隨侍浴，更迎來全新體驗 P1：過水沖涼後，先伏於床上，miwa從肩膀開始按摩，到腰間再到小腿，手法正宗，向伊人查詢下原來曾經拜師學藝，難怪工作繃緊都給舒緩消除，與及以日語及英語夾雜下傾計，也慰藉了心靈 P2：接下來，教練示意轉身，舌尖慢慢向身上兩點進襲，身體在感受miwa 帶來的那種靈活那個溫度的同時，纖纖玉手沒有閒著，慢慢落下手握巨龍，完全被包圍套弄，接著靈蛇…
#SpaReport #灣仔 #elf #elfspa #小精靈 #精靈 教場：@Elfspa 教室：Elf Spa 教練：嘉禾 頭相：9/10 身材：9/10 服務：9/10 過程：入門笑容滿面，腦海中只有掂字，見天氣熱攞埋野飲比我 p1：按摩，力度不錯按到差點睡着 P2：按完後轉身，囡囡解甲，又白又滑仲有吸手波，囡囡有少少怕羞，囡囡雖新手，但係細心服務一輪調情互摷後解鎖p3 P3：同p2既好似換左人咁，非常狂野，特別係女上果陣，身材眼神再加聲音，好快就頂唔住繳械 家用：1800 評語：人靚過相，女女雖新手但用心服務，開心擺低家用走人 #代出報告 💋💋想了解更多：💋💋 t.me/GG_GGlist3
#SpaReport 教場：@nuruspahk03 教室 ：白宮 教練：左轮 相頭：8 ／10 身材：10 ／10 大爆乳 服務：10 ／10溫柔體貼任搓任屌 今日食到條大波好正，一手都揸唔哂嘅大爆乳，入門同我除晒啲衫褲，跟手就撚雀，咀完又吞，吞完又瀬，搞到硬鳩晒，對波好好揸，好軟熟，任搓任啜任瀬，上床按了一陣，開始大車舔胸甜蛋69，大M字腳擘開，一鳩就屌入去，屌吖，好能窄好能濕，喺咁鋤，鋤到佢大叫，叫床聲好好聽，好溫柔，爽到震晒，鋤咗幾十下，射哂出嚟，超級爽 家用：12魚 #代出報告 💋💋想了解更多：💋💋 @Gg_Gglist0
#spaReport #佐敦 #越南 #Nuru 教場 : @Hanoimassagespa 教室 : 河內SPA 教練 : Queena 學費 : 900 Nuru 入到河內嗰間按摩嗰陣成個人已經硬到似生鐵，膊頭鎖死，腰骨塞住，平時輕輕推油根本無用。 今次專登搵越南妹Queena，就係貪佢夠硬淨。 Queena一上手就唔玩虛，雙手先由後頸開始用力提拉，跟住用手肘穩穩頂住肩井穴，再轉膝頭壓落背脊兩側。 力道一層層加，成個人踩上嚟用腳掌順住脊骨慢慢推落腰，每一下都聽到骨節輕輕響。最過癮係脊椎啪骨嗰幾下，腰骨「啪」一聲鬆開，原本塞死嘅位即刻有氣流過。 嗰陣痛係有，但痛完係成條經絡慢慢暢通，好似積年嘅僵硬被一層層拆開。 拆到一半個人已經開始發軟，呼吸由急促轉慢，肌肉一吋吋鬆落。 Queena感覺到就放輕力度，轉做溫柔漫遊。雙手抹滿熱油，由腳趾開始慢慢順按上小腿，再推揉大腿內側，油溫同手溫一齊滲入皮膚。 跟住輕輕托起春袋，用指腹…
#hgreport #Hg #TST 教室：@oceanhotel 教場：海洋 教練：Rita 🇯🇵 評分：9:5日本妹樣 相頭9/10身材10/10服務9/10 過程：開門見到Rita 真係好幼，身材我俾10分係因為佢完全符合我要求，P2睇住佢除果下，即刻硬度MAX！ Rita p1真係好有心機，講真都算 係好過預期，但你唔可以期望太大力，反而佢哋手指真係超正，就算佢已經慢慢嚟輕手啲，但佢本體實在太正，p3先做一個日式nuru正到爆，之後AV場景，講真，如果日本妹來講呢part係最淫唔多講 家用1200+tip 感受：可能有人覺得呢個價位》餐有冇咁平但係真係好彩撞到咁平呢個世界有啲嘢真係未試過就唔知分別。下次再約 #代出報告 💋💋想了解更多：💋💋 @Gg_Gglist0
#工作室 教室：@bobostudio68 教場：BoBo工作室 教練：BoBo 幾經辛苦終於約到Bobo 一入門口樣靚身材正 應大嘅大又走肥仲要有靚腳 自取其浴後會主動幫手抺身 P1 上到按摩床溝通完邊度攰Bobo就起手按 欣賞會佢先用手了解我身體狀況，再問可唔可以踩背，細心到不得了 手按同踩背都唔會用死力，真係用技巧去令我放鬆，全個過程唔痛但鬆到呢個真係小有，各位師兄真係要親身感受過先會明 全個過程有講有笑，好好傾，無悶場 P2 到轉身抓龍根，手法好好 唔痛！只會有小小酸酸軟軟~ 過程仔細一D都唔急進，慢慢咁修正我每一部份 之後順利升空 嗰個爽法同鬆弛真係筆墨難以形容 總結就係一定會再黎 只係驚book唔到位 #代出報告 💋💋想了解更多：💋💋 @Gg_Gglist0
Showing the 12 most recent of 124 posts we hold for @GG_NewReport. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank — 291,581 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Named by 4 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 11 August 2026 — this entry's latest reading, not the date you are reading this.
“香港 GG 📝好評區” (@GG_NewReport), 8,640 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/GG_NewReport.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.